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AI Senior Developer
India
Job Information
Job Type
Full time
Work Experience
5-8 years
Industry
IT Services
Date Opened
10/01/2025
City
Chennai City Corporation
State/Province
Tamil Nadu
Country
India
Zip/Postal Code
600015
Job Description
• Architecture & Strategy : Define and evolve the technical architecture of a multi
tenant SaaS platform.
• Engineering Leadership : Translate product requirements into robust, scalable
technical solutions across APIs, microservices, and automation frameworks.
• Team Leadership : Mentor and guide engineers, establish coding standards, and
foster a culture of technical excellence.
• AI & Data Systems : Oversee design of ML/AI-driven modules, analytics engines,
and data pipelines.
• Agentic AI Solutions : Design and implement autonomous and semi-autonomous
AI agents to drive decision-making, workflow automation, and user interactions.
• LLM Integration & Orchestration : Lead initiatives in leveraging large language
models (LLMs), multi-agent orchestration frameworks, and vector databases to
create adaptive, intelligent systems.
• Integration Ecosystem : Lead development of integrations with third-party systems
(eCommerce platforms, ERPs, CRMs, marketplaces, etc.).
• Security & Compliance : Ensure platform adheres to enterprise-grade security,
compliance, and privacy standards.
• Performance & Scalability : Anticipate growth needs and ensure high availability,
reliability, and cost optimization.
• Cross-Functional Collaboration : Partner with product, design, and business
stakeholders to align technical execution with business goals.
Requirements
• 6–8 years of experience in software engineering
• Proven track record of architecting and scaling SaaS platforms.
• Strong expertise in cloud-native development (AWS, Azure, or GCP), microservices,
and API-first architectures.
• Hands-on experience with modern backend frameworks (Node.js, Python, Java, or
Go).
• Background in data engineering, event-driven systems, and ML/AI integration.
• Experience designing AI/ML solutions for personalization, forecasting, NLP, and
anomaly detection.
• Demonstrated experience with agentic AI systems (multi-agent orchestration, task
planning, tool-use frameworks).
Experience in SaaS, eCommerce, or AI/ML-driven products.
• Knowledge of ERP, CRM, or marketplace integrations.
• Familiarity with big data frameworks (Kafka, Spark, Snowflake, etc.).
• Experience with modern AI/ML toolchains (TensorFlow, PyTorch, Hugging Face,
LangChain, vector databases).
• Exposure to observability and monitoring tools (Grafana, Prometheus, Datadog, ML
model monitoring platforms).
• Experience in early-stage/startup environments with fast-paced execution
Preferred Qualification
• Strong knowledge of DevSecOps, CI/CD, MLOps, and infrastructure-as-code
practices.
• Demonstrated success in building and leading high-performing engineering teams.
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